What success looks like in this role:
• Works closely with cross-functional project team members to ensure an integrated approach to AI / ML model application.
- Leading the design and development of Generative AI applications leveraging LLMs, embeddings, vector databases, RAG, and multi-agent frameworks
• Works with AI Engineers, AI experts and associated operations and other technical personnel to deliver end-to-end solutions designed to enhance user experience and deliver superior results.
• Collaborates on the definition of AI / ML model development and application standards.
• Employs creative and leading-edge thinking to reconcile end user requirements with technical feasibility and business viability.
• Collaborates with model builders and recommends architectures to ensure timely and quality service delivery.
• Provides targeted feedback and peer review for AI / ML and allied team members.
• Leverages current understanding of AI / ML and software engineering to transform ideas into specific model, development and product recommendations.
#LI-LS1
You will be successful in this role if you have:
BS/BE Degree with 8+ years of relevant experience.
Strong hands-on experience with Large Language Models (LLMs) and their application in agent-based and autonomous systems.
Solid understanding of Agentic AI concepts, including planning, reasoning, and multi-agent collaboration.
Solid understanding and hands-on experience agent orchestration frameworks and AI tooling ecosystems (e.g., CrewAI).
Proficiency with Azure AI Services, including Azure OpenAI, Azure AI Doc Intelligence, Translator, etc
Strong understanding of Azure OpenAI GPT models, including capabilities, limitations, prompt engineering, function calling, tool use, and structured outputs.
Strong programming skills in Python, with experience integrating AI services, APIs, and data pipelines.
Proficiency in back-end development using Python, and/or Golang, with a focus on API-driven architecture.
Experience with databases such as PostgreSQL, and familiarity with vector databases.
Working knowledge of at least one front-end framework such as React or Angular for UI
Hands-on experience with cloud-native development, containers, and microservices.
Demonstrated experience in cluster using Kubernetes, Docker, Helm & platforms like Rancher
Familiarity with UI/UX tooling such as Figma for rapid prototyping and design collaboration.
Cloud certifications (Azure Developer, Azure AI Engineer, or equivalent) are an added advantage.
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.
If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at [email protected]. US job seekers can find more information about Unisys’ EEO commitment here.
Skills Required
- BS/BE degree with 8+ years of relevant experience
- Hands-on experience with Large Language Models (LLMs) and agent-based/autonomous systems
- Understanding of Agentic AI concepts (planning, reasoning, multi-agent collaboration)
- Experience with agent orchestration frameworks and AI tooling ecosystems (e.g., CrewAI)
- Proficiency with Azure AI Services including Azure OpenAI, Azure AI Document Intelligence, Translator
- Strong understanding of Azure OpenAI GPT models, prompt engineering, function calling and tool use
- Strong programming skills in Python; experience integrating AI services, APIs, and data pipelines
- Back-end development experience in Python and/or Golang with API-driven architecture focus
- Experience with PostgreSQL and familiarity with vector databases
- Working knowledge of at least one front-end framework such as React or Angular
- Hands-on experience with cloud-native development, containers, and microservices
- Experience with Kubernetes, Docker, Helm and platforms like Rancher
- Familiarity with UI/UX tooling such as Figma for prototyping
- Cloud certifications (Azure Developer, Azure AI Engineer, or equivalent)
Unisys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Unisys and has not been reviewed or approved by Unisys.
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Fair & Transparent Compensation — Fair & Transparent Compensation: Compensation terms at hire are often presented clearly and upfront, creating a straightforward “take it or leave it” expectation. Pay outcomes are also described as variable by role and geography, with some pockets viewed as satisfactory or above average.
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Retirement Support — Retirement Support: A 401(k) plan with an employer match is commonly described as part of the core package. The match is often characterized as a meaningful component of total rewards relative to other benefits.
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Healthcare Strength — Healthcare Strength: Core medical, dental, and vision coverage is described as available and broadly in line with a large IT-services employer. The underlying carrier network is sometimes viewed as solid even when cost concerns exist.
Unisys Insights
What We Do
Unisys is a global information technology company that builds high-performance, security-centric solutions for the most demanding businesses and governments on Earth. Unisys offerings include security software and services; digital transformation and workplace services; industry applications and services; and innovative software operating environments for high-intensity enterprise computing. We build better outcomes securely for our clients across the Government, Financial Services and Commercial








